Guy Van den Eede

New approaches in GMO detection.

The steady rate of development and diffusion of genetically modified plants and their increasing diversification of characteristics, genes and genetic control elements poses a challenge in analysis of genetically modified organisms (GMOs). It is expected that in the near future the picture will be even more complex. Traditional approaches, mostly based on the sequential detection of one target at a time, or on a limited multiplexing, allowing only a few targets to be analysed at once, no longer meet the testing requirements. Along with new analytical technologies, new approaches for the detection of GMOs authorized for commercial purposes in various countries have been developed that rely on (1) a smart and accurate strategy for target selection, (2) the use of high-throughput systems or platforms for the detection of multiple targets and (3) algorithms that allow the conversion of analytical results into an indication of the presence of individual GMOs potentially present in an unknown sample. This paper reviews the latest progress made in GMO analysis, taking examples from the most recently developed strategies and tools, and addresses some of the critical aspects related to these approaches.

International Collaborative Study of the Endogenous Reference Gene, Sucrose Phosphate Synthase (SPS), Used for Qualitative and Quantitative Analysis of Genetically Modified Rice

One rice ( Oryza sativa ) gene, sucrose phosphate synthase (SPS), has been proven to be a suitable endogenous reference gene for genetically modified (GM) rice detection in a previous study. Herein are the reported results of an international collaborative ring trial for validation of the SPS gene as an endogenous reference gene and its optimized qualitative and quantitative polymerase chain reaction (PCR) systems. A total of 12 genetically modified organism (GMO) detection laboratories from seven countries participated in the ring trial and returned their results. The validated results confirmed the species specificity of the method through testing 10 plant genomic DNAs, low heterogeneity, and a stable single-copy number of the rice SPS gene among 7 indica varieties and 5 japonica varieties. The SPS qualitative PCR assay was validated with a limit of detection (LOD) of 0.1%, which corresponded to about 230 copies of haploid rice genomic DNA, while the limit of quantification (LOQ) for the quantitative PCR system was about 23 copies of haploid rice genomic DNA, with acceptable PCR efficiency and linearity. Furthermore, the bias between the test and true values of eight blind samples ranged from 5.22 to 26.53%. Thus, we believe that the SPS gene is suitable for use as an endogenous reference gene for the identification and quantification of GM rice and its derivates.

Application of the modular approach to an in-house validation study of real-time PCR methods for the detection and serogroup determination of verocytotoxigenic Escherichia coli.

ABSTRACT European Commission regulation 2073/2005 on the microbiological criteria for food requires that Escherichia coli is monitored as an indicator of hygienic conditions. Since verocytotoxigenic E. coli (VTEC) strains often cause food-borne infections by the consumption of raw food, the Biological Hazards (BIOHAZ) panel of the European Food Safety Authority (EFSA) recommended their monitoring in food as well. In particular, VTEC strains belonging to serogroups such as O26, O103, O111, O145, and O157 are known causative agents of several human outbreaks. Eight real-time PCR methods for the detection of E. coli toxin genes and their variants (stx 1, stx 2), the intimin gene (eae), and five serogroup-specific genes have been proposed by the European Reference Laboratory for VTEC (EURL-VTEC) as a technical specification to the European Normalization Committee (CEN TC275/WG6). Here we applied a “modular approach” to the in-house validation of these PCR methods. The modular approach subdivides an analytical process into separate parts called “modules,” which are independently validated based on method performance criteria for a limited set of critical parameters. For the VTEC real-time PCR module, the following parameters are being assessed: specificity, dynamic range, PCR efficiency, and limit of detection (LOD). This study describes the modular approach for the validation of PCR methods to be used in food microbiology, using single-target plasmids as positive controls and showing their applicability with food matrices.

How to Reliably Test for GMOs

Accurate and reliable testing is necessary to support the requirements of legislation on genetically modified organisms (GMO) defining their traceability and labeling. In this book, an overview of all key topics relevant to GMO testing is presented, including practical experience and generally accepted laboratory practices. GMO legislation, sources of information on GMOs, organization of the testing laboratory focusing on aspects of the quality system, and methods for testing are described. In addition, precise information on qualitative and quantitative real-time PCR detection with special attention to critical points and important precautionary measures to assure reliable and accurate analyses are given. Special attention was given also to metrological topics, such as validation and verification of methods and measurement uncertainty. The approaches for GMO detection, which are precisely described in the present document, are also relevant for other areas where detection and identification rely on nucleic acid-based methods. Numerous diverse GMOs are coming onto the market including GMOs produced by new technologies, which are challenging established systems of analysis, therefore new developments in detection technologies and bioinformatics solutions are presented.

Applicability of the “Real-Time PCR-Based Ready-to-Use Multi-Target Analytical System for GMO Detection” in processed maize matrices

Simple tools to detect the presence of genetically modified organisms (GMO) in commercial products represent a valuable aid in managing the legal requirements for GMO testing in a cost-effective way. The “Real-Time PCR-Based Ready-to-Use Multi-Target Analytical System for GMO Detection” was developed to meet such requirements and was here further tested for its applicability on detecting GMO in recalcitrant maize matrices. Sixty-four processed maize products were purchased from the market of the European Union and analyzed for their GMO content. Seventy-five percent of the test samples were positive for the presence of GMO. In two samples, trace amounts of the so-called asynchronously authorized GMO could be detected. The overall outcome of the analyses indicated that most of the commercially available genetically modified maize events for food use could be detected in this study. Finally, the possibility to use the “Real-Time PCR-Based Ready-to-Use Multi-Target Analytical System for GMO Detection” in detecting GMO at a 0.1% mass level is documented. The implications of these results on the further development of such type of PCR-based GMO detection systems are discussed.

Towards a Pathogenic Escherichia coli Detection Platform Using Multiplex SYBR®Green Real-Time PCR Methods and High Resolution Melting Analysis

Escherichia coli is a group of bacteria which has raised a lot of safety concerns in recent years. Five major intestinal pathogenic groups have been recognized amongst which the verocytotoxin or shiga-toxin (stx1 and/or stx2) producing E. coli (VTEC or STEC respectively) have received a lot of attention recently. Indeed, due to the high number of outbreaks related to VTEC strains, the European Food Safety Authority (EFSA) has requested the monitoring of the “top-five” serogroups (O26, O103, O111, O145 and O157) most often encountered in food borne diseases and addressed the need for validated VTEC detection methods. Here we report the development of a set of intercalating dye Real-time PCR methods capable of rapidly detecting the presence of the toxin genes together with intimin (eae) in the case of VTEC, or aggregative protein (aggR), in the case of the O104:H4 strain responsible for the outbreak in Germany in 2011. All reactions were optimized to perform at the same annealing temperature permitting the multiplex application in order to minimize the need of material and to allow for high-throughput analysis. In addition, High Resolution Melting (HRM) analysis allowing the discrimination among strains possessing similar virulence traits was established. The development, application to food samples and the flexibility in use of the methods are thoroughly discussed. Together, these Real-time PCR methods facilitate the detection of VTEC in a new highly efficient way and could represent the basis for developing a simple pathogenic E. coli platform.

Inter-laboratory Testing of GMO Detection by Combinatory SYBR®Green PCR Screening (CoSYPS)

Combinatory SYBR®Green real-time PCR Screening (CoSYPS) is an efficient, sensitive approach for detecting complex targets such as genetically modified organisms (GMOs) in food and feed products. GMO analysis for legal purposes has become increasingly complex and costly due to the diversity in recombinant targets present in the different GMOs. For this reason, screening for the presence of GMOs is in general the first step in the detection of GM material in a product. CoSYPS allows detecting the large majority of globally commercial GMOs using SYBR®Green real-time PCR methods for six GM targets (P35S, Tnos, CryIAb, CP4-EPSPS, PAT and BAR) combined with species-specific PCR methods (e.g., maize, soy, rapeseed). Here, the results of an inter-laboratory trial on seven samples with different GMO mixtures at different levels are presented. In total, 13 laboratories participated in the trial and the currently most frequently used PCR analysis platforms are represented. The inter-laboratory study clearly demonstrates that PCR methods used in CoSYPS form a very robust GMO screening system. Sensitivity, specificity, positive and negative predictive values are for all PCR methods higher than 95xa0% for all samples. Together, these results show that the SYBR®Green real-time PCR methods used in CoSYPS are effectively applicable to different PCR platforms and amendable to configuration into a sensitive high-throughput GMO screening and decision support tool.

Validity Assessment of the Detection Method of Maize Event Bt10 through Investigation of Its Molecular Structure

In March 2005, U.S. authorities informed the European Commission of the inadvertent release of unauthorized maize GM event Bt10 in their market and subsequently the grain channel. In the United States measures were taken to eliminate Bt10 from seed and grain supplies; in the European Union an embargo for maize gluten and brewers grain import was implemented unless certified of Bt10 absence with a Bt10-specific PCR detection method. With the aim of assessing the validity of the Bt10 detection method, an in-depth analysis of the molecular organization of the genetic modification of this event was carried out by both the company Syngenta, who produced the event, and the European Commission Joint Research Centre, who validated the detection method. Using a variety of molecular analytical tools, both organizations found the genetic modification of event Bt10 to be very complex in structure, with rearrangements, inversions, and multiple copies of the structural elements (cry1Ab, pat, and the amp gene), interspersed with small genomic maize fragments. Southern blot analyses demonstrated that all Bt10 elements were found tightly linked on one large fragment, including the region that would generate the event-specific PCR amplicon of the Bt10 detection method. This study proposes a hypothetical map of the insert of event Bt10 and concludes that the validated detection method for event Bt10 is fit for its purpose.

Detection of airborne genetically modified maize pollen by real‐time PCR

The cultivation of genetically modified (GM) crops has raised numerous concerns in the European Union and other parts of the world about their environmental and economic impact. Especially outcrossing of genetically modified organisms (GMO) was from the beginning a critical issue as airborne pollen has been considered an important way of GMO dispersal. Here, we investigate the use of airborne pollen sampling combined with microscopic analysis and molecular PCR analysis as an approach to monitor GM maize cultivations in a specific area. Field trial experiments in the European Union and South America demonstrated the applicability of the approach under different climate conditions, in rural and semi‐urban environment, even at very low levels of airborne pollen. The study documents in detail the sampling of GM pollen, sample DNA extraction and real‐time PCR analysis. Our results suggest that this ‘GM pollen monitoring by bioaerosol sampling and PCR screening’ approach might represent an useful aid in the surveillance of GM‐free areas, centres of origin and natural reserves.

Testing the interaction between analytical modules: an example with Roundup Ready®soybean line GTS 40-3-2

BackgroundThe modular approach to analysis of genetically modified organisms (GMOs) relies on the independence of the modules combined (i.e. DNA extraction and GM quantification). The validity of this assumption has to be proved on the basis of specific performance criteria.ResultsAn experiment was conducted using, as a reference, the validated quantitative real-time polymerase chain reaction (PCR) module for detection of glyphosate-tolerant Roundup Ready® GM soybean (RRS). Different DNA extraction modules (CTAB, Wizard and Dellaporta), were used to extract DNA from different food/feed matrices (feed, biscuit and certified reference material [CRM 1%]) containing the target of the real-time PCR module used for validation. Purity and structural integrity (absence of inhibition) were used as basic criteria that a DNA extraction module must satisfy in order to provide suitable template DNA for quantitative real-time (RT) PCR-based GMO analysis. When performance criteria were applied (removal of non-compliant DNA extracts), the independence of GMO quantification from the extraction method and matrix was statistically proved, except in the case of Wizard applied to biscuit. A fuzzy logic-based procedure also confirmed the relatively poor performance of the Wizard/biscuit combination.ConclusionsFor RRS, this study recognises that modularity can be generally accepted, with the limitation of avoiding combining highly processed material (i.e. biscuit) with a magnetic-beads system (i.e. Wizard).